Abstract
The formation of the traffic accidents is always caused by many factors such as the road, the vehicle, the drivers conditions and so on [1, 2]. In order to analyze the various causes of traffic accidents, the feasibility measures should be taken after the accident occurred, and how to prevent the occurrence of related traffic accidents. This paper introduces a novel traffic accident analysis system to analyze traffic accidents, which is mainly composed of seven parts, including accident basic information analysis, accident driver analysis, accident vehicle analysis, accident road analysis, large accident ledger, multi-dimensional accident analysis, and accident analysis report. The suggested framework mainly contains two technology: (1) multi-dimensional analysis which is the core of the data warehouse technology to build the multi-dimensional data model in reservoir management (2) the on-line analytical processing (OLAP) technology in data analysis and display. In addition, Bayesian network is used for multidimensional data analysis in this paper. The method proposed in this paper can effectively organize a large number of out of data to get useful information which is convenient for traffic management departments to analyze the reason of traffic accidents and then to take corresponding countermeasures.
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References
Wang, H.: Application of decision tree algorithm in the analysis of the causes of traffic accident. J. Anhui Sci. Technol. Univ. 27(6), 74 (2013)
Feng, X.: The road traffic accident cause analysis and countermeasure research. Heilongjiangjiaotongkeji 33(12), 111–112 (2010)
Ning, S., Feng, Z.: Analysis on the cause of road traffic accidents. Commun. Stand. 10, 152–155 (2006)
Wang, H.: The Application of the Mining of Association Rules in Analysis of Traffic Accidents. Anhui University (2010)
Qi, Z., Tan, D., Meng, H.: Analysis of causes of road traffic accidents based on AHP. Sci. Technol. Inf. 3, 195–196 (2011)
Chen, S.: Application of AHP method in the analysis of the causes of road traffic accidents in the city. Wuxi municipal design and Research Institute (z1), 129–131 (2009)
Chu, W.: Analysis of traffic accident mechanism based on clustering method. Automob. Appl. Technol. 4, 16–18 (2013)
Ye, X.: Analysis of the causes of traffic accidents and causal analysis based on AHP method. Highw. Automot. Appl. 3, 64–67 (2008)
Lin, Z.: The cause of traffic accident based on the theory of principal component analysis. J. Shandong Jiao Tong Univ. 14(1), 55–57 (2006)
Liu, L.: Study on Statistic Analysis and Prediction Model of Road Traffic Accident. Chongqing University (2004)
Acknowledgement
This work is partially supported by Open Project of Key Laboratory of Ministry of Public Security for Road Traffic Safety (2017ZDSYSKFKT12-2). The corresponding author of this paper is Jiadong Sun. E-mail: 253195895@qq.com.
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Li, Z., Guo, X., Sun, J. (2018). Analysis and Research on the Temporal and Spatial Correlation of Traffic Accidents and Illegal Activities. In: Sun, X., Pan, Z., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2018. Lecture Notes in Computer Science(), vol 11068. Springer, Cham. https://doi.org/10.1007/978-3-030-00021-9_38
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DOI: https://doi.org/10.1007/978-3-030-00021-9_38
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